000208884 001__ 208884
000208884 005__ 20180123001643.0
000208884 0247_ $$2Other$$a2063 0476
000208884 037__ $$a1316-2016-102842
000208884 037__ $$a1316-2016-103022
000208884 041__ $$aen
000208884 245__ $$aTechnical efficiency of organic agriculture: a quantitative review
000208884 260__ $$c2015-08
000208884 269__ $$a2015-08
000208884 300__ $$a11
000208884 336__ $$aJournal Article
000208884 390__ $$ahttp://dx.doi.org/10.7896/j.1512
000208884 500__ $$ahttp://dx.doi.org/10.7896/j.1512
000208884 520__ $$aThis article examines the variations in mean technical efficiency estimates in organic agriculture and the factors that explain the observed variations. A three-stage process was employed in data collection. Firstly, journals on organic agriculture and related disciplines were identified and searched. Secondly, several publishers’ websites and databases, namely Cambridge Journals, Elsevier, Emerald, Oxford University Press, Sage, Taylor and Francis, and Wiley, among others, were covered. Databases included AgEcon Search, CAB Abstracts, DOAJ, EBSCOhost, Google Scholar and ScienceDirect. Thirdly, the reference lists of studies found in the first and second stages were searched to identify additional literature. In all, 42 studies constituting 109 observations covering the period 2002-2014 were found. Unlike existing literature on technical efficiency quantitative reviews in agriculture, this article employs a battery of tests to select the appropriate solution for multiple observations from the same primary study, as well as the appropriate functional form for the selected fractional regression model. The mean technical efficiency of organic agriculture for the period of study and the effects of other study characteristics are thoroughly discussed.
000208884 542__ $$fLicense granted by Andrew Fieldsend (andrew.fieldsend@aki.gov.hu) on 2015-09-10T13:35:42Z (GMT):

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000208884 650__ $$aAgribusiness
000208884 650__ $$aAgricultural and Food Policy
000208884 650__ $$aCrop Production/Industries
000208884 650__ $$aDemand and Price Analysis
000208884 650__ $$aEnvironmental Economics and Policy
000208884 650__ $$aFinancial Economics
000208884 650__ $$aLand Economics/Use
000208884 650__ $$aMarketing
000208884 650__ $$aProduction Economics
000208884 650__ $$aProductivity Analysis
000208884 6531_ $$afractional regression
000208884 6531_ $$ameta-regression
000208884 6531_ $$aorganic agriculture
000208884 6531_ $$aquantitative review
000208884 6531_ $$atechnical efficiency
000208884 700__ $$aDjokoto, Justice G.
000208884 773__ $$dAugust 2015$$jVolume 117$$kNumber 2$$o71$$q61$$tStudies in Agricultural Economics
000208884 8564_ $$s762714$$uhttp://ageconsearch.umn.edu/record/208884/files/1512-djokoto.pdf
000208884 887__ $$ahttp://purl.umn.edu/208884
000208884 909CO $$ooai:ageconsearch.umn.edu:208884$$pGLOBAL_SET
000208884 912__ $$nSubmitted by Andrew Fieldsend (andrew.fieldsend@aki.gov.hu) on 2015-09-10T13:39:40Z
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  Previous issue date: 2015-08
000208884 982__ $$gStudies in Agricultural Economics>Volume 117, Number 2, August 2015
000208884 980__ $$a1316